| 書(shū)目名稱(chēng) | Measurement Uncertainties in Science and Technology | | 編輯 | Michael Grabe | | 視頻video | http://file.papertrans.cn/629/628086/628086.mp4 | | 概述 | A new error calculus for modern-day science | | 圖書(shū)封面 |  | | 描述 | .At the turn of the 19.th. century, Carl Friedrich Gau? founded error calculus by predicting the then unknown position of the planet Ceres. Ever since, error calculus has occupied a place at the heart of science. In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gau?’ error calculus ab initio, he treats random and unknown systematic errors on an equal footing from the outset. Furthermore, Grabe also proposes what may be called well defined measuring conditions, a prerequisite for defining confidence intervals that are consistent with basic statistical concepts. The resulting measurement uncertainties are as robust and reliable as required by modern-day science, engineering and technology. . | | 出版日期 | Book 20051st edition | | 關(guān)鍵詞 | Gaussian error calculus; Method of least squares; Normal; Statistical interferences; Systematic errors; d | | 版次 | 1 | | doi | https://doi.org/10.1007/b138915 | | isbn_softcover | 978-3-642-05895-0 | | isbn_ebook | 978-3-540-27319-6 | | copyright | Springer-Verlag Berlin Heidelberg 2005 |
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